Research map / Adversarial robustness and security / Certified and empirical robustness
Rethinking Evaluation Paradigms in IBP-based Certified Training
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Understanding Certified Training with Interval Bound Propagation (ICLR 2024 · similarity 0.89)
- CTBench: A Library and Benchmark for Certified Training (ICML 2025 · similarity 0.89)
- Learning Better Certified Models from Empirically-Robust Teachers (NeurIPS 2026 · similarity 0.88)
- A Recipe for Improved Certifiable Robustness (ICLR 2024 · similarity 0.86)
- On the Scalability of Certified Adversarial Robustness with Generated Data (NeurIPS 2024 · similarity 0.86)
- Halt Fast! Early Stopping for Certified Robustness (NeurIPS 2026 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.